AI in Healthcare: How To Assess What Works
At ViVE 2025, healthcare leaders emphasized that AI scribes are proving effective and scalable, especially in reducing physician burnout, while broader clinical AI tools still face challenges around reliability and integration. Speakers urged health systems to focus on long-term value, ease of use, and real-world outcomes over hype when evaluating AI solutions.
Elon Musk asked People to Upload Their Health Data. X Users Obliged
Users on X have begun uploading personal medical images to Grok, an AI chatbot, raising concerns about data privacy and clinical accuracy. Bayesian Health founder Suchi Saria cautioned that without high-quality data and medical expertise, efforts like these risk becoming amateur experiments rather than delivering meaningful, safe health insights.
Artificial intelligence was a hot-button topic at Modern Healthcare’s Digital
At Modern Healthcare’s Digital Health Summit, AI took center stage as leaders debated its promise, risks, and readiness for clinical care. Companies like Bayesian Health continue to stand out by demonstrating real-world impact through clinically validated, scalable AI applications designed to improve outcomes without overwhelming frontline teams.
Cleveland Clinic is gearing up for the integration of artificial intelligence across its operations, with a focus on both clinical and nonclinical applications.
Cleveland Clinic is piloting AI in key areas including sepsis risk prediction, documentation, and coding automation, with a strong focus on ethical oversight and frontline integration. Among its partners is Bayesian Health, whose clinically validated platform supports early identification of high-risk patients, aligning with the system’s long-term strategy for AI-driven care optimization.
AI Model Improves Early Detection of Hospital-Acquired Pressure Injuries
A collaborative study by USC, Johns Hopkins, and University Hospitals developed an AI model that significantly outperforms traditional tools in predicting hospital-acquired pressure injuries. Bayesian Health, led by Dr. Suchi Saria, contributed to the work, showcasing how its platform improves early detection, reduces nursing burden, and advances health equity through unbiased, data-driven risk assessment.
2023 was a transformative year for Bayesian Health and clinical AI. Following significant achievements like FDA recognition and major EMR integrations, Bayesian established itself as a leader in healthcare technology.
Delve into our Year in Review page to uncover the pivotal moments and strategic partnerships that thrust Bayesian into the industry forefront, shaping the trajectory of clinical AI. Join us to explore how these elements coalesced to make 2023 a defining year for Bayesian in the realm of healthcare technology.
In a recent Washington Post article, Leana S. Wen highlights the transformative impact of AI tools in healthcare, particularly in improving patient outcomes. The piece showcases Kaiser Permanente’s success in deploying an AI tool to identify early signs of patient deterioration in hospitals, a task traditionally reliant on clinician vigilance.
This AI system integrates various data points like vital signs and lab tests to alert healthcare teams proactively, helping in the early intervention of potential health crises. The results speak for themselves: a significant reduction in mortality rates. The article also notes the effective use of AI in other hospitals, such as Johns Hopkins, for early sepsis detection.
While Bayesian’s product is referenced in the discussion, the focus remains on the broader benefits and potentials of AI in healthcare.
Read the Washington Post article
Read more about Bayesian Health’s approach to Adaptive AI
Healthcare, like most other industries, has been experimenting with the use of large language models (LLMs) over the past year to streamline things like patient communication, clinical documentation and prior authorization.
While there has certainly been a great deal of hype recently surrounding LLMs and other forms of generative AI, there has also been a lot of skepticism. When it comes to an industry like healthcare, where one small technology failure could be the difference between life and death, many stakeholders are concerned about how to mitigate the risks associated with novel LLMs entering the field.
Read the Med City News article
Read more about Bayesian Health’s approach to Adaptive AI
In this illuminating article written by Neri Cohen, MD PhD Chief Medical Informatics Officer at Bayesian Health, you’ll learn about the transformative impact of digital automation platforms on patient engagement and clinical outcomes.
Dr. Cohen dives into Bayesian Health’s groundbreaking AI platform, which empowers front-line clinicians by translating complex data sets into actionable insights. Developed in collaboration with Johns Hopkins, the platform has already demonstrated an 18.2% decrease in sepsis patient mortality rates and earned FDA designation as a Breakthrough Medical Device. With an adoption rate of 89% among clinicians, Bayesian’s platform is more than a technological marvel; it’s a tool clinicians trust to make data-backed decisions quickly. Dive deeper into the intersection of AI and healthcare, and explore how Bayesian Health is setting new industry standards for patient care.
Read the Future Medicine AI Hub Article
Read more about Bayesian Health’s approach to Adaptive AI
Artificial intelligence (AI) has been making waves in various industries, and healthcare is no exception. As the potential of AI continues to unfold, experts have gathered at the recent 2023 STAT Breakthrough Summit to discuss its transformative impact on the healthcare system. Prominent figures in AI/ML: Nigam Shah, Suchi Saria, and Connor Landgraf shared their invaluable insights, shedding light on the four crucial ways in which the healthcare industry should shift its thinking regarding AI.
Amidst the increasing adoption of AI technologies, even the renowned “Godfather of AI,” Geoffrey Hinton, expressed concerns about the overwhelming power wielded by this disruptive technology. Recent months have witnessed a frenzy of efforts to harness AI in diverse sectors, and healthcare has been at the forefront of these groundbreaking endeavors.
As the boundaries of what is possible continue to be pushed, it becomes imperative for healthcare professionals, policymakers, and stakeholders to reflect on the optimal utilization of AI. This article explores the key takeaways from the discussions at the STAT Breakthrough Summit, offering insights into how the healthcare system should approach AI with a renewed mindset.
Read more about the four fundamental shifts in thinking that experts suggest are necessary for AI to truly revolutionize healthcare. By embracing these transformative concepts, the healthcare industry has the potential to unlock unprecedented advancements and redefine the standards of patient care.
Read more about Bayesian Health’s approach to Adaptive AI
